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Cloud cover percentage [0, 100] from:

Cloud cover percentage [0, 100] to (exclusive):

Landsat collection category, such as T1 or T2:

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

Coordinate reference system field:

How much data is in the scene from:

How much data is in the scene to (exclusive):

ID of a dataset type:

Derived product version number:

The ground sample distance from:

The ground sample distance to (exclusive):

Sun azimuth from:

Sun azimuth to (exclusive):

Sun elevation from:

Sun elevation to (exclusive):

File format (GeoTiff, NetCDF):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Instrument name:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Platform code:

Product family code:

African regional area:

Spatial reference code from the provider. For Landsat region_code is a scene path row '{:03d}{:03d}.format(path,row)'. For Sentinel it is MGRS code. In general it is a unique string identifier that datasets covering roughly the same spatial region share. :

Landsat root mean square error from:

Landsat root mean square error to (exclusive):

Landsat root mean square error in X from:

Landsat root mean square error in X to (exclusive):

Landsat root mean square error in Y from:

Landsat root mean square error in Y to (exclusive):

The satellite orbit state, either ascending or descending:

The satellite relative orbit from:

The satellite relative orbit to (exclusive):

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

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27 results

Time (local)	Label
2013-09-30 18:41:35	wofs_ls_182061_2013-09-30.stac-item
2014-02-12 17:12:39	wofs_ls_167073_2014-02-12.stac-item
2015-01-02 19:54:06	wofs_ls_195046_2015-01-02.stac-item
2015-01-21 17:13:33	wofs_ls_168062_2015-01-21.stac-item
2015-04-09 17:31:18	wofs_ls_170077_2015-04-09.stac-item
2017-01-27 19:25:27	wofs_ls_191036_2017-01-27.stac-item
2017-09-22 18:16:09	wofs_ls_177079_2017-09-22.stac-item
2017-11-24 17:23:20	wofs_ls_170055_2017-11-24.stac-item
2018-03-11 17:06:36	wofs_ls_167061_2018-03-11.stac-item
2018-04-05 20:14:48	wofs_ls_198053_2018-04-05.stac-item
2018-06-18 19:15:19	wofs_ls_188060_2018-06-18.stac-item
2020-03-06 18:13:07	wofs_ls_177072_2020-03-06.stac-item
2020-11-16 20:33:14	wofs_ls_202035_2020-11-16.stac-item
2021-05-01 16:44:01	wofs_ls_164051_2021-05-01.stac-item
2022-01-13 17:40:43	wofs_ls_171083_2022-01-13.stac-item
2022-04-13 17:22:49	wofs_ls_169070_2022-04-13.stac-item
2022-12-12 16:15:01	wofs_ls_158069_2022-12-12.stac-item
2023-01-29 17:41:32	wofs_ls_174038_2023-01-29.stac-item
2023-03-07 16:34:29	wofs_ls_161072_2023-03-07.stac-item
2023-04-13 18:32:47	wofs_ls_180075_2023-04-13.stac-item
2023-05-06 16:52:18	wofs_ls_165056_2023-05-06.stac-item
2023-05-07 20:01:38	wofs_ls_196051_2023-05-07.stac-item
2023-05-09 19:03:40	wofs_ls_186060_2023-05-09.stac-item
2023-07-14 18:02:43	wofs_ls_176062_2023-07-14.stac-item
2024-02-15 16:27:34	wofs_ls_160070_2024-02-15.stac-item
2024-04-16 19:01:18	wofs_ls_187038_2024-04-16.stac-item
2024-04-19 20:20:03	wofs_ls_200035_2024-04-19.stac-item

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wofs_ls: Historic Flood Mapping Water Observations from Space

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